社会网络分析简介
- 社会网数据的基本概念
- 关系类型
- 网络类型
- 网络表示方式
- 社会网数据的构成
- 边数据
- 点数据
可视化的目的与方式
2017年11月29日
社会网络分析简介
可视化的目的与方式
Social/Graph theories
– Two-step flow theory – Three degree of influence – Social balance – Social status
Graph theories
– Graph categories – Network measures – Network generation model
Deep learning algorithm
– RNN – LSTM – Attention mechanism – CNN
Directed/Undirected/Mixed graphs
– Directed edges: friend relationships – Undirected edges: follow relationships
Simple graphs
– Only one edge could exist between any pair of nodes
Multigraphs
– Multiple edges exist between two nodes: two users can be friends and, at the same time, colleagues, group members, or other relation
Weighted graphs
– Weight: the number of links between two web sites
– Signed graph, e.g.,A+edge(friend),a-edge(foe); A+edge(highersocialstatus),a-edge(lowersocialstatus)
单模网与双模网
对称网
有价网
附属网
有向网、表示方式2
所有社会网络内部结构都可以用邻接矩阵表示
edgelist
nodelist